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ORCIDDavid Cárdenas-Peña
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- affiliation: National University of Colombia, Signal Processing and Recognition Group, Manizales
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Journal Articles
- 2023
[j12]Diego Fabian Collazos-Huertas
, Andrés Marino Álvarez-Meza, David Augusto Cárdenas-Peña, Germán Albeiro Castaño Duque, César Germán Castellanos-Domínguez:
Posthoc Interpretability of Neural Responses by Grouping Subject Motor Imagery Skills Using CNN-Based Connectivity. Sensors 23(5): 2750 (2023)- [j11]Yeison Nolberto Cardona-Álvarez, Andrés Marino Álvarez-Meza, David Augusto Cárdenas-Peña, Germán Albeiro Castaño Duque, Germán Castellanos-Domínguez:
A Novel OpenBCI Framework for EEG-Based Neurophysiological Experiments. Sensors 23(7): 3763 (2023) - 2022
- [j10]Maria Camila Maya-Piedrahita, Paula Marcela Herrera-Gómez, Laura Berrío-Mesa, David Augusto Cárdenas-Peña, Álvaro Ángel Orozco-Guitiérrez:
Supported Diagnosis of Attention Deficit and Hyperactivity Disorder from EEG Based on Interpretable Kernels for Hidden Markov Models. Int. J. Neural Syst. 32(3): 2250008:1-2250008:16 (2022) - 2021
- [j9]Andrés F. Valencia-Duque, David Cárdenas-Peña, Andrés Marino Álvarez-Meza, Álvaro-Ángel Orozco-Gutierrez, Héctor Fabio Quintero Riaza:
Tdnn-Based Engine In-Cylinder Pressure Estimation from Shaft Velocity Spectral Representation. Sensors 21(6): 2186 (2021) - [j8]Cristian Alfonso Jimenez Castaño, Andrés Marino Álvarez-Meza, Oscar David Aguirre-Ospina, David Augusto Cárdenas-Peña, Álvaro-Ángel Orozco-Gutierrez:
Random Fourier Features-Based Deep Learning Improvement with Class Activation Interpretability for Nerve Structure Segmentation. Sensors 21(22): 7741 (2021) - 2020
- [j7]Luis Ariosto Serna Cardona, Hernán Darío Vargas Cardona, Piedad Navarro González, David Augusto Cárdenas-Peña, Álvaro-Ángel Orozco-Gutierrez:
Classification of Categorical Data Based on the Chi-Square Dissimilarity and t-SNE. Comput. 8(4): 104 (2020) - 2019
- [j6]Diego Fabian Collazos-Huertas, David Cárdenas-Peña, Germán Castellanos-Domínguez:
Instance-Based Representation Using Multiple Kernel Learning for Predicting Conversion to Alzheimer Disease. Int. J. Neural Syst. 29(2): 1850042:1-1850042:12 (2019) - 2018
- [j5]David Cárdenas-Peña, Diego Fabian Collazos-Huertas, Andrés Marino Álvarez-Meza, Germán Castellanos-Domínguez:
Supervised kernel approach for automated learning using General Stochastic Networks. Eng. Appl. Artif. Intell. 68: 10-17 (2018) - 2016
- [j4]David Cárdenas-Peña, Diego Fabian Collazos-Huertas, Germán Castellanos-Domínguez:
Centered Kernel Alignment Enhancing Neural Network Pretraining for MRI-Based Dementia Diagnosis. Comput. Math. Methods Medicine 2016: 9523849:1-9523849:10 (2016) - 2015
- [j3]Esther E. Bron, Marion Smits, Wiesje M. van der Flier, Hugo Vrenken, Frederik Barkhof, Philip Scheltens, Janne M. Papma, Rebecca M. E. Steketee, Carolina Méndez Orellana, Rozanna Meijboom, Madalena Pinto, Joana R. Meireles, Carolina Garrett, António J. Bastos-Leite, Ahmed Abdulkadir, Olaf Ronneberger, Nicola Amoroso, Roberto Bellotti, David Cárdenas-Peña, Andrés Marino Álvarez-Meza, Chester V. Dolph, Khan M. Iftekharuddin, Simon F. Eskildsen, Pierrick Coupé, Vladimir S. Fonov, Katja Franke:
Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: The CADDementia challenge. NeuroImage 111: 562-579 (2015) - [j2]Vaïa Machairas, Matthieu Faessel, David Cárdenas-Peña, Théodore Chabardès, Thomas Walter, Etienne Decencière:
Waterpixels. IEEE Trans. Image Process. 24(11): 3707-3716 (2015) - 2013
- [j1]David Cárdenas-Peña, Mauricio Orozco-Alzate, Germán Castellanos-Domínguez:
Selection of time-variant features for earthquake classification at the Nevado-del-Ruiz volcano. Comput. Geosci. 51: 293-304 (2013)
Conference and Workshop Papers
- 2023
- [c35]Mauricio Castaño, Hernán F. García, Álvaro Á. Orozco, Gloria L. Porras-Hurtado, David Augusto Cárdenas-Peña:
Bayesian Iterative Closest Point for Shape Analysis of Brain Structures. ICPRAM 2023: 920-925 - 2022
- [c34]Jonnatan Arias-Garcia, Hernán F. García, Álvaro Á. Orozco, Gloria L. Porras-Hurtado, David Cárdenas-Peña, Jorge Iván Ríos Patiño:
Brain Shape Correspondence Analysis Using Functional Maps. ISVC (2) 2022: 3-12 - 2021
- [c33]Viviana Gómez-Orozco, Cristian Blanco Martínez, David Augusto Cárdenas-Peña, Paula Marcela Herrera-Gómez, Álvaro Ángel Orozco-Guitiérrez:
EEG representation approach based on Kernel Canonical Correlation Analysis highlighting discriminative patterns for BCI applications. EMBC 2021: 955-958 - [c32]Harold Mauricio Díaz-Vargas, Cristian Alfonso Jimenez Castaño, David Augusto Cárdenas-Peña, Oscar David Aguirre-Ospina, Álvaro-Ángel Orozco-Gutierrez:
Peripheral Nerve Segmentation in Ultrasound Images Using Conditioned U-Net. IWAIPR 2021: 124-133 - [c31]Julián D. Pastrana-Cortes, Maria Camila Maya-Piedrahita, Paula Marcela Herrera-Gómez, David Cárdenas-Peña, Álvaro-Ángel Orozco-Gutierrez:
Interpretable Diagnosis of ADHD Based on Wavelet Features and Logistic Regression. IWAIPR 2021: 424-433 - 2020
- [c30]Maria Camila Maya-Piedrahita, David Cárdenas-Peña, Álvaro-Ángel Orozco-Gutierrez:
Diagnosis of attention deficit and hyperactivity disorder (ADHD) using Hidden Markov Models. EUSIPCO 2020: 1205-1209 - [c29]S. Galindo-Noreña, David Cárdenas-Peña, Álvaro-Ángel Orozco-Gutierrez:
CSP-based discriminative capacity index from EEG supporting ADHD diagnosis. EUSIPCO 2020: 1343-1347 - 2019
- [c28]Luisa Fernanda Velásquez-Martínez, David Luna-Naranjo, David Cárdenas-Peña, Carlos Daniel Acosta-Medina, German A. Castaño, Germán Castellanos-Domínguez:
Relevance of Common Spatial Patterns Ranked by Kernel PCA in Motor Imagery Classification. BI 2019: 13-20 - [c27]Daniel Guillermo García-Murillo, Andrés M. Álvarez, David Cárdenas-Peña, William Hincapie-Restrepo, Germán Castellanos-Domínguez:
Sparse-Based Feature Selection for Discriminating Between Crops and Weeds Using Field Images. CIARP 2019: 357-364 - [c26]Camilo López-Montes, David Cárdenas-Peña, Germán Castellanos-Domínguez:
Supervised Relevance Analysis for Multiple Stein Kernels for Spatio-Spectral Component Selection in BCI Discrimination Tasks. CIARP 2019: 620-628 - [c25]J. A. Hernández-Muriel, J. C. Mejía-Hernández, Julián D. Echeverry-Correa, Álvaro Á. Orozco, David Cárdenas-Peña:
HAPAN: Support Tool for Practicing Regional Anesthesia in Peripheral Nerves. IWINAC (1) 2019: 130-137 - [c24]Julian Caicedo-Acosta, David Cárdenas-Peña, Diego Fabian Collazos-Huertas, Jorge I. Padilla-Buritica, Germán Castaño Duque, Germán Castellanos-Domínguez:
Multiple-Instance Lasso Regularization via Embedded Instance Selection for Emotion Recognition. IWINAC (1) 2019: 244-251 - 2018
- [c23]Diego Fabian Collazos-Huertas, David Cárdenas-Peña, Germán Castellanos-Domínguez:
Linear Projection Learned from Hybrid CKA for Enhancing Distance-Based Classifiers. CIARP 2018: 100-108 - [c22]David Luna-Naranjo, Juana Valeria Hurtado-Rincón, David Cárdenas-Peña, V. H. Castro, Héctor Fabio Torres, Germán Castellanos-Domínguez:
EEG Channel Relevance Analysis Using Maximum Mean Discrepancy on BCI Systems. CIARP 2018: 820-828 - [c21]Diego Fabian Collazos-Huertas, David Cárdenas-Peña, Germán Castellanos-Domínguez:
Multimodal Alzheimer Diagnosis Using Instance-Based Data Representation and Multiple Kernel Learning. IWAIPR 2018: 201-209 - [c20]Daniel Guillermo García-Murillo, David Cárdenas-Peña, Germán Castellanos-Domínguez:
Relevance of Filter Bank Common Spatial Patterns Using Multiple Kernel Learning in Motor Imagery. IWAIPR 2018: 210-218 - [c19]Julian Caicedo-Acosta, Luisa Fernanda Velásquez-Martínez, David Cárdenas-Peña, Germán Castellanos-Domínguez:
Multiple Instance Learning Selecting Time-Frequency Features for Brain Computing Interfaces. IWAIPR 2018: 326-333 - [c18]Camilo López-Montes, David Cárdenas-Peña, Germán Castellanos-Domínguez:
Sub Band CSP Using Spatial Entropy-Based Relevance in MI Tasks. IWAIPR 2018: 334-341 - [c17]Luisa Fernanda Velásquez-Martínez, F. Y. Zapata-Castaño, David Cárdenas-Peña, Germán Castellanos-Domínguez:
Detecting EEG Dynamic Changes Using Supervised Temporal Patterns. IWAIPR 2018: 351-358 - [c16]David Luna-Naranjo, David Cárdenas-Peña, Germán Castellanos-Domínguez:
Entropy-Based Relevance Selection of Independent Components Supporting Motor Imagery Tasks. IWAIPR 2018: 359-367 - 2017
- [c15]Diego Fabian Collazos-Huertas, A. Tobar-Rodriguez, David Cárdenas-Peña, Germán Castellanos-Domínguez:
MRI-Based Feature Extraction Using Supervised General Stochastic Networks in Dementia Diagnosis. IWINAC (1) 2017: 363-373 - 2015
- [c14]Mauricio Orbes-Arteaga, David Cárdenas-Peña, Mauricio A. Álvarez, Álvaro Á. Orozco, Germán Castellanos-Domínguez:
Magnetic Resonance Image Selection for Multi-Atlas Segmentation Using Mixture Models. CIARP 2015: 391-399 - [c13]Mauricio Orbes-Arteaga, David Cárdenas-Peña, Mauricio A. Álvarez, Álvaro Á. Orozco, Germán Castellanos-Domínguez:
Spatial-Dependent Similarity Metric Supporting Multi-atlas MRI Segmentation. IbPRIA 2015: 300-308 - [c12]David Cárdenas-Peña, Álvaro Á. Orozco, Germán Castellanos-Domínguez:
Information-Based Cost Function for a Bayesian MRI Segmentation Framework. ICIAP (1) 2015: 548-556 - [c11]Mauricio Orbes-Arteaga, David Cárdenas-Peña, Mauricio A. Álvarez, Álvaro Á. Orozco, Germán Castellanos-Domínguez:
Kernel Centered Alignment Supervised Metric for Multi-Atlas Segmentation. ICIAP (1) 2015: 658-667 - [c10]David Cárdenas-Peña, Mauricio Orbes-Arteaga, Germán Castellanos-Domínguez:
Supervised Brain Tissue Segmentation Using a Spatially Enhanced Similarity Metric. IWINAC (1) 2015: 398-407 - 2014
- [c9]Andrés Marino Álvarez-Meza, David Cárdenas-Peña, Germán Castellanos-Domínguez:
Unsupervised Kernel Function Building Using Maximization of Information Potential Variability. CIARP 2014: 335-342 - [c8]David Cárdenas-Peña, Andrés Marino Álvarez-Meza, Germán Castellanos-Domínguez:
Kernel-Based Image Representation for Brain MRI Discrimination. CIARP 2014: 343-350 - [c7]David Cárdenas-Peña, Mauricio Orbes-Arteaga, Germán Castellanos-Domínguez:
Kernel-based Atlas Image Selection for brain tissue segmentation. EMBC 2014: 2895-2898 - [c6]Andrés Marino Álvarez-Meza, David Cárdenas-Peña, Andrés Eduardo Castro-Ospina, Mauricio A. Álvarez, Germán Castellanos-Domínguez:
Tensor-product kernel-based representation encoding joint MRI view similarity. EMBC 2014: 3897-3900 - [c5]E. Cuartas-Morales, David Cárdenas-Peña, Germán Castellanos-Domínguez:
Influence of anisotropic white matter modeling on EEG source localization. EMBC 2014: 4920-4923 - [c4]David Cárdenas-Peña, Mauricio Orbes-Arteaga, Andrés Eduardo Castro-Ospina, Andrés Marino Álvarez-Meza, Germán Castellanos-Domínguez:
A Kernel-Based Representation to Support 3D MRI Unsupervised Clustering. ICPR 2014: 3203-3208 - 2013
- [c3]David Cárdenas-Peña, Juan David Martínez-Vargas, Germán Castellanos-Domínguez:
Local binary fitting energy solution by graph cuts for MRI segmentation. EMBC 2013: 5131-5134 - 2012
- [c2]David Cárdenas-Peña, Juan David Martínez-Vargas, Germán Castellanos-Domínguez:
Extraction of Stationary Spectral Components Using Stochastic Variability. CIARP 2012: 765-772 - [c1]Juan David Martínez-Vargas, David Cárdenas-Peña, Germán Castellanos-Domínguez:
Extraction of stationary components in biosignal discrimination. EMBC 2012: 1-4
Coauthor Index
aka: Andrés M. Álvarez
aka: César Germán Castellanos-Domínguez
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